Mobile SmartLife via Sensing, Localization, and Cloud Ecosystems
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A01=Kaikai Liu
A01=Xiaolin Li
Acoustic Beacon
Acoustic Signal
advanced indoor navigation algorithms
Anchor Nodes
AR
AR Application
AR View
Author_Kaikai Liu
Author_Xiaolin Li
Beacon Period
Beacon Signal
BLE
Category=UGK
Category=UMB
Category=UTC
CFAR
Chaotic Mapping
collaborative localization methods
context-aware computing
Crowd Sensing
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
Execution Time
Fine Grained Localization
Gps Module
Indoor Localization
indoor positioning systems
Location Update Rate
Low Transmission Speed
Mobile Phone Position
Mobile Social Networks
Navigation Coordinate
privacy in cloud data sharing
SDP
Semidefinite Relaxation
sensor fusion techniques
smartphone sensing applications
TOA Estimation
Wearable Tags
Product details
- ISBN 9781498732345
- Weight: 635g
- Dimensions: 156 x 234mm
- Publication Date: 13 Dec 2017
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Indoor location is one of the two most important contexts (time and location), becoming a key entry for mobile Internet. This book envisions potential indoor location applications, overviews the related state of the art technologies, and presents original patented techniques and open source prototype systems. The tutorial and sample code are provided as a good reference and starting point for readers who are interested in the technique detail.
Kaikai Liu is a Ph.D. candidate in Electrical and Computer Engineering at the University of Florida (UF) under the supervision of Dr.Xiaolin Andy Li. , he alsosubmitted 6 papers and 3 patents with strong determination for innovation.
Dr. Xiaolin (Andy) Li is an associate professor and area chair of Computer Engineering Division in Department of Electrical andComputer Engineering at University of Florida.
